Solutions Architect – OEM AI at NVIDIA

**Who this is for** A technically skilled Solutions Architect passionate about accelerated compute and AI, focused on empowering OEM partners to build secure, h

Work type: remote

Location: US, CA, Santa Clara | US, CA, Remote

Type: Full-time

Summary

**Who this is for** A technically skilled Solutions Architect passionate about accelerated compute and AI, focused on empowering OEM partners to build secure, high-performance AI infrastructure. **Key highlights** You will serve as the bridge between NVIDIA’s engineering and OEM partners, designing massive-scale AI pipelines for cybersecurity and industry data while developing proof-of-concept architectures for Agentic AI. **You might be a good fit if you...** - Have 5+ years of experience in Solutions Architecture, AI Research, or Data Science. - Demonstrate deep expertise in ML/Deep Learning and statistics applied to security logs or large datasets. - Are proficient in pipeline development using Python, C/C++, and Linux utilities. - Have hands-on experience with big data frameworks, GPU acceleration, and modern AI paradigms like RAG and GNN.

Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA’s software and tools with our OEM partners’ offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.

What you'll be doing:

Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.

Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.

Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.

Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

What we need to see:

BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).

5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.

Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.

Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.

Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.

Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.

Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd:

Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.

Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.

Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.

Public speaking experience at industry conferences or large technical events.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family [www.nvidiabenefits.com/](http://www.nvidiabenefits.com/)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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